PPclassify

Predict class for the test set and calculate prediction error after finding the PPtree structure, .

tree

Implements projection pursuit forest algorithm for supervised classification.

Natalia Silva

PPforest

Projection Pursuit Classification Forest

Natalia da Silva

Dianne Cook

Eun-Kyung Lee

PPclassify function

<dl><dt>Tree.result</dt>
<dd>the result from PPtree_split</dd>
<dt>test.data</dt>
<dd>the test dataset</dd>
<dt>Rule</dt>
<dd>split rule 1:mean of two group means, 2:weighted mean, 3: mean of max(left group) and min(right group), 4: weighted mean of max(left group) and min(right group)</dd>
<dt>true.class</dt>
<dd>true class of test dataset if available</dd></dl>

Arguments

Predict class for the test set and calculate prediction error after finding the PPtree structure, . — PPclassify

<dl>

<dt>Tree.result</dt>
<dd>the result from PPtree_split</dd>


<dt>test.data</dt>
<dd>the test dataset</dd>


<dt>Rule</dt>
<dd>split rule 1:mean of two group means, 2:weighted mean, 3: mean of max(left group) and min(right group), 4: weighted mean of max(left group) and min(right group)</dd>


<dt>true.class</dt>
<dd>true class of test dataset if available</dd>

</dl>

PPclassify: Predict class for the test set and calculate prediction error after finding the PPtree structure, .

Description

Usage

Value

Arguments

References